Data Engineer - AWS, Redshift, Python & SQL

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Sinch

Develop and maintain scalable, resilient data pipelines using AWS services such as Lambda, Step Functions, Redshift, and S3;
Improve and maintain the Redshift data warehouse solution;
Manage the data lifecycle from ingestion and processing to storage and retrieval;
Work with a range of different technologies and programming languages, with a primary focus on Python and SQL;
Actively contribute to enhancing our data processes and pipelines;
Take a hands-on approach to monitoring production environments, identifying issues, and being on-call when necessary;
Engage closely with data scientists, software engineers, architects, DevOps specialists, and product managers to deliver exceptional data solutions;
Build and maintain visualizations and dashboards in Tableau.

Capable of developing, maintaining, and optimizing data pipelines for enhanced performance and reliability;
Experienced professional in team-based software development and deployment;
Skilled in using SQL for data querying and ETL/ELT development;
Experienced in data warehousing (Redshift) and data modelling;
In-depth knowledge of AWS services including Lambda, Step Functions, Redshift, and S3;
Ability to work effectively within a cross-functional self-organizing team, fostering collaboration and mutual respect among team members;
A passion for writing clean and efficient code;
Strong written and verbal communication skills in English;
Bachelor’s degree in computer science, data engineering, or related technical discipline.

Knowledgeable about various data architectures such as Data Lake, Data Mesh, and Data Fabric;
Experience in data visualization tools;
Knowledge in or willing to learn infrastructure as code using Terraform;
Experience in a similar industry or related one;
Proven ability to work with others to solve tough technical problems;
Ability to thrive in a dynamic and fast-paced work environment characteristic of agile development methodologies;
Experience guiding and mentoring fellow engineers, empowering them to contribute effectively to team goals.

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